About: From Google Street View to 3D City Models

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We present a structure-from-motion (SfM) pipeline for visual 3D modeling of a large city area using 360 deg. field of view Google Street View images. The core of the pipeline combines the state of the art techniques such as SURF feature detection, tentative matching by an approximate nearest neighbour search, relative camera motion estimation by solving 5-pt minimal camera pose problem, and sparse bundle adjustment. The robust and stable camera poses estimated by PROSAC with soft voting and by scale selection using a visual cone test bring high quality initial structure for bundle adjustment. Furthermore, searching for trajectory loops based on co-occurring visual words and closing them by adding new constraints for the bundle adjustment enforce the global consistency of camera poses and 3D structure in the sequence. We present a large-scale reconstruction computed from 4,799 images of the Google Street View Pittsburgh Research Data Set. We present a structure-from-motion (SfM) pipeline for visual 3D modeling of a large city area using 360 deg. field of view Google Street View images. The core of the pipeline combines the state of the art techniques such as SURF feature detection, tentative matching by an approximate nearest neighbour search, relative camera motion estimation by solving 5-pt minimal camera pose problem, and sparse bundle adjustment. The robust and stable camera poses estimated by PROSAC with soft voting and by scale selection using a visual cone test bring high quality initial structure for bundle adjustment. Furthermore, searching for trajectory loops based on co-occurring visual words and closing them by adding new constraints for the bundle adjustment enforce the global consistency of camera poses and 3D structure in the sequence. We present a large-scale reconstruction computed from 4,799 images of the Google Street View Pittsburgh Research Data Set. (en)
Title	From Google Street View to 3D City Models From Google Street View to 3D City Models (en)
skos:prefLabel	From Google Street View to 3D City Models From Google Street View to 3D City Models (en)
skos:notation	RIV/68407700:21230/09:00163723!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Torii, Akihiko Pajdla, Tomáš Havlena, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	315633
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/09:00163723
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Structure from Motion; Omnidirectional Vision (en)
http://linked.open.../riv/klicoveSlovo	Structure from Motion Omnidirectional Vision
http://linked.open...ontrolniKodProRIV	[8F98BEB07FB4]
http://linked.open...v/mistoKonaniAkce	Kyoto
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	OMNIVIS '09: 9th IEEE Workshop on Omnidirectional Vision, Camera Networks and Non-classical Cameras
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Pajdla, Tomáš Havlena, Michal Torii, Akihiko
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-10-04 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Decision Making and Control for Manufacturing III
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society Press
https://schema.org/isbn	978-1-4244-4441-0
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	From Google Street View to 3D City Models From Google Street View to 3D City Models From Google Street View to 3D City Models From Google Street View to 3D City Models

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